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Build data pipelines for self-service BI and analytics supporting risk and post-trade teams at Hong Kong's stock exchange, working with big data platforms in an international environment.
Senior C++ Market Data Engineer building high-performance, low-latency market data pipelines for a trading firm—processing, parsing, and normalizing global exchange feeds to support high-frequency trading.
Build ingestion pipelines for hundreds of WMS and Geek+ tables and transform data from Silver to Gold within a Lakehouse architecture to enable SSBI, collaborating with stakeholders on table structures and metrics.
Data Engineer at a Hong Kong startup building and maintaining data pipelines and ML models for water-use analytics and leakage detection, collaborating closely with hardware teams.
Data Engineer building AI-powered CV/job matching platforms, focusing on data ingestion pipelines, OCR processing of CVs and job descriptions, and scalable ETL/ELT workflows on AWS.
Data Engineer designing and maintaining data analytics and data warehouse platforms for insurance applications, using Databricks, Spark, PySpark, and Azure SQL.
Design, build, and operate scalable data platforms and ETL pipelines for analytics and AI-driven decision-making in hybrid and cloud environments, ensuring government security compliance for MINDEF and GCC cloud initiatives.
Data Engineer building and maintaining scalable data pipelines and systems using Azure and Databricks for a large insurance organization in Hong Kong.
Build and maintain ETL/data pipelines, migrate legacy systems to a cloud-enabled data ecosystem, and support data quality and analytics for a finance & banking client using SQL and cloud platforms.
The AI & Data Engineer will modernize enterprise data platforms by managing large-scale data migrations and building robust data pipelines. The role involves collaborating with cross-functional teams to support analytics and reporting using cloud-enabled ecosystems.
BI Developer/Data Engineer designing enterprise-scale Power BI reports, dashboards, and SSAS tabular models with DAX optimization and data integration from SQL Server, Oracle, and APIs.
As a Risk Data Engineer, you drive innovation with Big Data and Analytics Platforms by applying analytical techniques, building data pipelines, and enhancing risk frameworks. Core technologies include Python, SQL, data modeling, ETL, and data warehousing.
The Senior Market Data Engineer will design and maintain high-performance, real-time market data infrastructure and exchange feed integrations for a trading firm. The role requires strong C++ expertise and fluency in both Mandarin and English.
A Data Engineer / Software Developer role in Hong Kong focused on writing, coding, and optimizing software programs using Python, Apache Spark, and Unix shell scripting, while collaborating with regional technology teams.
The Engineering Manager will lead technical projects, mentor engineers, and design scalable applications for funds data within an agile environment at FactSet.
Lead a data engineering team, design scalable data solutions, define architecture, and enforce coding standards using Python, SQL, Scala, and Azure.
This role involves bridging AI and data by building natural-language interfaces for executive analytics and coaching client analysts. The engineer will perform data integration tasks and model data using AI tools to enable conversational data querying.
ZigZag is seeking a Senior Data Engineer to design, build, and scale cloud-based data platforms that enable trusted analytics, operational reporting, and data-driven decision making across the organisation. This role…
The Senior Data Engineering Architect will design scalable analytics platforms and lead migrations to Unity Catalog using Azure Databricks, Data Factory, and Fabric. The role requires extensive experience in data analytics and proficiency in Python and PySpark.
Design and maintain Snowflake-based data pipelines and ETL/ELT processes supporting analytics, reporting, and AI initiatives for the organization.
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